Abstract
We propose a framework to develop cyber solutions to support remote steering of science instruments and measurements collection over instrument-computing ecosystems. It is based on provisioning separate data and control connections at the network level, and developing software modules consisting of Python wrappers for instrument commands and Pyro server-client codes that make them available across the ecosystem network. We demonstrate automated measurement transfers and remote steering operations in a microscopy use case for materials research over an ecosystem of Nion microscopes and computing platforms connected over site networks. The proposed framework is currently under further refinement and being adopted to science workflows with automated remote experiments steering for autonomous chemistry laboratories and smart energy grid simulations.
Original language | English |
---|---|
Title of host publication | Proceedings - 2023 IEEE International Conference on Smart Computing, SMARTCOMP 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 198-200 |
Number of pages | 3 |
ISBN (Electronic) | 9798350322811 |
DOIs | |
State | Published - 2023 |
Event | 9th IEEE International Conference on Smart Computing, SMARTCOMP 2023 - Nashville, United States Duration: Jun 26 2023 → Jun 29 2023 |
Publication series
Name | Proceedings - 2023 IEEE International Conference on Smart Computing, SMARTCOMP 2023 |
---|
Conference
Conference | 9th IEEE International Conference on Smart Computing, SMARTCOMP 2023 |
---|---|
Country/Territory | United States |
City | Nashville |
Period | 06/26/23 → 06/29/23 |
Funding
This research is sponsored in part by the INTERSECT Initiative as part of the Laboratory Directed Research and Development Program and in part by RAMSES project of Advanced Scientific Computing Research program, U.S. Department of Energy, and in part by the Office of Basic Energy Sciences, Division of Materials Sciences and Engineering, U.S. Department of Energy, and is performed at Oak Ridge National Laboratory managed by UT-Battelle, LLC for U.S. Department of Energy under Contract No. DE-AC05-00OR22725. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Keywords
- science instrument ecosystems
- science workflows